Fatigue inspection and maintenance optimization: A comparison of information value, life cycle cost and reliability based approaches

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Title: Fatigue inspection and maintenance optimization: A comparison of information value, life cycle cost and reliability based approaches
Authors: Zou, GuangFaber, Michael HavbroGonzález, ArturoBanisoleiman, Kian
Permanent link: http://hdl.handle.net/10197/12147
Date: 15-Jan-2021
Online since: 2021-05-11T15:08:46Z
Abstract: Fatigue cracks increase structural failure risk and timely maintenance is very important. Maintenance planning is often formulated as a probabilistic optimization problem, considering uncertainties in structural and load modelling, material properties, damage measurements, etc. A decision rule or strategy, e.g. condition based maintenance (CBM), needs to be set up, and then an optimal maintenance criterion or threshold is derived via solving the optimization problem. This paper develops a probabilistic maintenance optimization approach exploiting value of information (VoI) computation and Bayesian decision optimization. The VoI based approach explicitly quantifies added values from future inspections, and gives an optimal decision (or strategy) by direct modelling decision alternatives and evaluating their expected outcomes, rather than a pre-defined strategy. A comparative study on VoI, life cycle cost (LCC) and reliability based optimization approaches is conducted. It is shown that the VoI based approach takes all available maintenance strategies into account (both with and without involving inspections), and can reliably yield optimal maintenance strategies, whether the VoI is larger than or equal to zero. When the VoI is equal to zero, LCC and reliability based CBM optimization can lead to suboptimal maintenance strategies. The differences in the approaches are illustrated on fatigue-sensitive components in a marine structure.
Funding Details: European Commission Horizon 2020
Type of material: Journal Article
Publisher: Elsevier
Journal: Ocean Engineering
Volume: 220
Copyright (published version): 2020 Elsevier
Keywords: Integrity managementReliabilityProbabilistic modellingLife cycle cost analysisRisk analysisDecision making under uncertainty
DOI: 10.1016/j.oceaneng.2020.108286
Language: en
Status of Item: Peer reviewed
ISSN: 0029-8018
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Appears in Collections:Critical Infrastructure Group Research Collection
Earth Institute Research Collection
Civil Engineering Research Collection
TRUSS-ITN Research Collection

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